Investigating individualised health trajectories in underrepresented populations with GP records

Project Details

Aim: This study will evaluate the utility of mining general practice (GP) records to improve ME/CFS diagnosis, characterisation, and management in primary care.

Overview: This project aims to improve the way Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is recognised and diagnosed in the clinic. Many people with ME/CFS experience long delays before receiving a diagnosis, and the condition is often misunderstood or confused with other illnesses. We will analyse existing, de-identified medical records from the University of Melbourne’s Data for Decisions PATRON program to look for patterns in how symptoms are recorded, how long it takes to receive a diagnosis, and what other conditions or treatments people experience before and after being diagnosed with ME/CFS. The main benefit is that the research could help clinicians identify ME/CFS earlier, improve care pathways, and reduce diagnostic delays for future patients.

Project Lead: Katherine Huang

Patron ID: PAT1092